The graph represents a network of 1,280 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 03 July 2020 at 09:33 UTC.
The requested start date was Friday, 03 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 10-hour, 54-minute period from Friday, 19 June 2020 at 01:02 UTC to Thursday, 02 July 2020 at 11:56 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 1280
Unique Edges : 602
Edges With Duplicates : 1515
Total Edges : 2117
Number of Edge Types : 5
Tweet : 238
Retweet : 694
MentionsInRetweet : 784
Replies to : 136
Mentions : 265
Self-Loops : 262
Reciprocated Vertex Pair Ratio : 0.00356188780053428
Reciprocated Edge Ratio : 0.00709849157054126
Connected Components : 261
Single-Vertex Connected Components : 124
Maximum Vertices in a Connected Component : 394
Maximum Edges in a Connected Component : 793
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.429475
Graph Density : 0.000688404026583268
Modularity : 0.54251
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 1,280 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 03 July 2020 at 09:33 UTC.
The requested start date was Friday, 03 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 10-hour, 54-minute period from Friday, 19 June 2020 at 01:02 UTC to Thursday, 02 July 2020 at 11:56 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : SARS-NCOV
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[728] sars,cov [341] cdc,leading [341] leading,large [341] large,scale [341] scale,study [341] study,sars [341] cov,seroprevalence [341] seroprevalence,six [341] six,locations [341] locations,based Top Word Pairs in Tweet in G1:
[339] cdc,leading [339] leading,large [339] large,scale [339] scale,study [339] study,sars [339] sars,cov [339] cov,seroprevalence [339] seroprevalence,six [339] six,locations [339] locations,based Top Word Pairs in Tweet in G2:
[94] sars,cov [40] 2019,ncov [31] covid,19 [13] sars,ncov [13] chadox1,ncov [13] ncov,19 [12] ncov,sars [11] cov,testing [11] spike,protein [10] respiratory,syndrome Top Word Pairs in Tweet in G3:
[3] 2019,ncov [3] sars,cov [3] full,length [2] rossana38510044,luigi_warren [2] luigi_warren,antgduarte [2] antgduarte,rolandbakeriii [2] rolandbakeriii,nomdeplumi1 [2] nomdeplumi1,khaledatalaat [2] khaledatalaat,atomskssanakan [2] atomskssanakan,billybostickson Top Word Pairs in Tweet in G4:
[45] sars,cov [32] eid,aerosol [32] aerosol,transmission [32] transmission,sars [32] cov,more [32] more,important [32] important,exposure [32] exposure,transmission [32] transmission,pathway [32] pathway,previously Top Word Pairs in Tweet in G5:
[27] uso,productos [27] productos,utilizan [23] ministerio,sanidad [22] publicada,web [22] web,ministerio [22] sanidad,nota [22] nota,actuación [22] actuación,relación [22] relación,uso [21] sanidadgob,publicada Top Word Pairs in Tweet in G6:
[31] sars,cov [31] cov,spread [31] spread,eye [31] eye,inhalation [31] inhalation,sewage [31] sewage,contaminated [31] contaminated,water [31] water,possibly [31] possibly,sewer [31] sewer,gas Top Word Pairs in Tweet in G7:
[5] covid,19 [5] novel,coronavirus [5] 2019,ncov [4] coronavirus,2019 [4] sars,cov [2] 2019,novel [2] ncov,sars [2] ncov,19 [2] 19,covid [2] 19,sars Top Word Pairs in Tweet in G9:
[32] sars,ncov [18] #covid19,cases [16] ganjam,district [16] total,sars [16] ncov,infections [16] infections,tally [16] tally,rises [14] otvnews,#breaking [10] ncov,cases [10] #breaking,165 Top Word Pairs in Tweet in G10:
[42] sars,cov [29] 30,laboratorium [21] ruim,30 [21] laboratorium,geïsoleerde [21] geïsoleerde,stammen [19] stammen,coronavirus [19] coronavirus,bestaan [19] bestaan,zeven [19] zeven,varianten [19] varianten,die Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: